← Ecommerce
00—Ecommerce · AI Chatbots

AI chatbot for e-commerce: product Q&A, order support, conversion uplift

E-commerce chatbots that actually convert are different from generic support bots. They know your catalog, your sizing chart, your return policy, your live inventory — and they don't try to upsell when the customer wants help.

·—Why this matters

The chatbot pays back in two places at once: tier-1 support deflection (the obvious win) and conversion uplift (the sneaky win). Customers who ask a question and get a confident, accurate answer in seconds convert at 2-4× the rate of customers who bounce because their question went unanswered.

01—Use cases we ship

What this looks like in practice.

  • Product Q&A with live catalog

    Customer asks 'is this in stock in size medium' — chatbot checks live inventory and answers. Asks about a product spec — chatbot pulls from your structured catalog. The model only answers from grounded retrieval over your live store data.

  • Sizing and fit assistance

    Apparel and footwear specifically: chatbot asks the relevant fit questions (existing brand sizes that fit, body type, intended use), references your sizing chart and historical return data, makes a confident recommendation. Reduces sizing-related returns by 15-30%.

  • Order status and post-purchase support

    'Where's my order' — the most common e-commerce support ticket. Chatbot reads from Shopify/WooCommerce/custom, checks shipping carrier APIs, gives a status update with reasoning when the carrier data looks off (delays, exceptions, redelivery attempts).

  • Returns and exchanges workflow

    Customer initiates a return through the chat; it triggers your existing returns workflow, generates a return label, queues the refund. Customer experience: faster than the form. Team experience: fewer human-touched RMA tickets.

02—Implementation notes

How we build it.

  • →Stack: Anthropic Claude for the agent, retrieval over your product catalog (Algolia + pgvector, or just pgvector if you don't already use Algolia), Shopify/WooCommerce/custom integration for order data
  • →Live inventory is critical. The chatbot has to refuse to recommend out-of-stock items, period. Stale catalog data destroys customer trust faster than any other failure mode
  • →Sizing-help workflows benefit from a small RAG over your historical returns — 'this product runs small, customers usually size up' kind of context
  • →Timeline: 3-5 weeks for a Medium engagement covering Q&A + order support + returns; 5-7 weeks for the fit-assistance addition (more eval data required)
03—ROI signals

What success looks like.

  • 15-30%fewer sizing-related returns (apparel)
  • 55-70%tier-1 support ticket deflection
  • 2-4×conversion rate on chat-engaged sessions
  • <2smedian response time
04—FAQ
Won't the chatbot try to upsell the customer and feel pushy?
Not if you design it not to. We default to a system prompt that explicitly tells the model not to upsell on tier-1 support questions. The chatbot is allowed to mention related products only when the customer's intent is browsing/discovery, not when they're asking a support question. The brand cost of upsell-pushing in support contexts is higher than the marginal revenue.
How does it handle the long tail of unusual product questions?
Two ways: (1) RAG over the full product catalog including all metadata and historical Q&A; (2) explicit abstention with handoff — 'I'm not sure about that, let me get someone who can check.' The chatbot earning trust by saying 'I don't know' beats the chatbot losing trust by making up an answer.
Will this integrate with Shopify Plus or only standard Shopify?
Both. Shopify Plus has additional API surface area we can use (Functions, custom pricing rules, B2B features) but the core integration works with standard Shopify. We've also shipped on WooCommerce, BigCommerce, and several custom commerce backends.
What about PCI compliance and customer payment data?
The chatbot never touches payment data directly. Payment-related questions (refunds, payment methods, charges) get answered by reading from your existing payment system (Stripe, Shopify Payments) at read-only access. Any action that would require a write to payment data routes to a human or to your existing customer service tooling, which is already PCI-compliant.
·—Related
06—The discovery offer

Send us your most expensive operation.
We'll have an audit on your desk in five days.

One PDF. No deck. No obligation. We'll tell you whether AI is the right answer for it — and if it is, we'll quote the build the same week.

request the 5-day audit read a guide first